Similar to training 11.x perception that a vehicle is a bus and not a car, reinforcement learning for end-to-end can adjust control to favor a good example and avoid bad examples. For example, if 11.x had a prediction that a vehicle was 40% bus, 45% semi, 10% car, etc., the training data label...